Data Operations Lead, B2B

Posted 1hrs ago

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Job Description

Data Operations Lead connecting messy B2B and Lead Gen pipeline data for Power Digital’s AI-native growth firm. Supporting client onboarding, pre-sales audits, and marketing measurement.

Responsibilities:

  • Support the pre-sales process for large B2B and Lead Gen engagements
  • Contribute to Power Digital's marketing measurement programs
  • Own the post-signature data onboarding and integration experience for B2B and Lead Gen clients
  • Lead structured data intake sessions covering lead definitions, pipeline stage mapping, CRM field configuration, conversion logic, and attribution nuances
  • Coordinate CRM, marketing automation, demand generation, call tracking, and form tracking integrations
  • Ingest and normalize unstructured lead data from CSV imports, spreadsheets, screenshots, and custom ingress tooling
  • Validate integrations and pipeline data before handoff to analytics engineering
  • Maintain client integration documentation
  • Join sales calls and pitch meetings and conduct pre-signature data audits
  • Partner with the Appraisal team to scope data complexity into deal pricing and produce pre-sales data profiles
  • Support data readiness for MMM, incrementality, and attribution programs
  • Prepare, reconcile, validate, and deliver pipeline-focused measurement data
  • Employ AI technologies to enhance and optimize business processes
  • Utilize Power Digital's Nova ecosystem as it relates to the department
  • Report to the Director of Data Operations & Enablement and collaborate with the Appraisal team, Measurement team, Analytics Engineering, and client account leads

Requirements:

  • Proficiency in spoken and written English at an advanced level is required
  • 4+ years in data operations, marketing analytics, or marketing technology with direct client or stakeholder-facing responsibilities
  • Deep hands-on experience with B2B and Lead Gen data ecosystems, including Salesforce, HubSpot, Marketo, Pardot, LinkedIn Ads, 6sense, and Demandbase
  • Proven experience handling unstructured and non-standard lead data ingestion, including CSV imports, manual data entry reconciliation, screenshot-to-data workflows, and custom ingress pipelines
  • Solid SQL skills and hands-on Snowflake experience
  • Ability to write queries, validate data, and troubleshoot without engineering support for day-to-day tasks
  • Comfort in client-facing settings, including speaking to data capabilities in sales conversations and gathering requirements from non-technical marketing stakeholders
  • Familiarity with AI-assisted data tooling for unstructured data extraction, schema mapping, or data normalization
  • Familiarity with ETL tools such as Fivetran and Funnel and data pipeline concepts

Benefits:

  • Equal Opportunity Employer
  • Diversity and inclusion valued across race, gender identity, age, disability status, veteran status, sexual orientation, religion, and other identities